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利用IR64与Sadri群体中的高通量SNP标记鉴定水稻粒型和粒重的QTL

Identification of QTLs for rice grain size and weight by high-throughput SNP markers in the IR64 x Sadri population.

作者信息

Aslam Kashif, Naveed Shahzad Amir, Sabar Muhammad, Shabir Ghulam, Shah Shahid Masood, Khan Abdul Rehman, Shah Muhammad Musaddiq, Fiaz Sajid, Xu Jianlong, Arif Muhammad

机构信息

National Institute for Biotechnology and Genetic Engineering (NIBGE), Faisalabad, Pakistan.

Institute of Molecular Biology and Biotechnology, BZ University, Multan, Pakistan.

出版信息

Front Genet. 2022 Aug 19;13:955347. doi: 10.3389/fgene.2022.955347. eCollection 2022.

DOI:10.3389/fgene.2022.955347
PMID:36061203
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9437704/
Abstract

Grain appearance is one of the most important attributes of rice. It is determined by grain size, shape, and weight, which in turn influences the rice yield and market value. In this study, QTLs for grain length, grain width, grain length/width ratio, and grain weight were mapped using the high-throughput indica/indica SNP platforms. The population of the mega indica variety IR64 and the high-quality aromatic variety Sadri from Iran was phenotyped. Based on this phenotypic data, plants of 94 F families including both parents were selected. A linkage map analysis of 210 SNP markers identified 14 QTLs controlling the grain length, grain width, length/width ratio, and 1,000 grain weight. Among these 14, one important region containing the QTLs for all the four studies' traits was mapped on chromosome 8. It was derived from Sadri for the decreased length/width ratio and increased grain weight. This study demonstrated the speed and efficiency in using multiplex SNP genotyping for QTL analysis. Moreover, this study identified four novel QTLs (qGL8, qTGW8, qLWR8, and qGW8) sharing the same position on chromosome 8 which were linked with grain quality characteristics between one indica and one aromatic variety. It will enable more precise marker-assisted selection for grain weight, shape, and size. Further in-depth studies are required to dissect this region of interest and identify the related gene(s).

摘要

粒形是水稻最重要的特性之一。它由粒长、粒宽和粒重决定,而这些反过来又会影响水稻产量和市场价值。在本研究中,利用高通量籼稻/籼稻单核苷酸多态性(SNP)平台对控制粒长、粒宽、长宽比和粒重的数量性状基因座(QTL)进行了定位。对超级籼稻品种IR64和来自伊朗的优质香稻品种萨德里的群体进行了表型分析。基于这些表型数据,从包括双亲在内的94个F家系中选择了植株。对210个SNP标记进行连锁图谱分析,鉴定出14个控制粒长、粒宽、长宽比和千粒重的QTL。在这14个QTL中,有一个重要区域包含了所有四项研究性状的QTL,该区域位于第8号染色体上。它来自萨德里,具有降低的长宽比和增加的粒重。本研究证明了使用多重SNP基因分型进行QTL分析的速度和效率。此外,本研究还鉴定出四个新的QTL(qGL8、qTGW8、qLWR8和qGW8),它们在第8号染色体上具有相同位置,与一个籼稻品种和一个香稻品种之间的粒质特性相关。这将使对粒重、形状和大小的更精确的标记辅助选择成为可能。需要进一步深入研究来剖析这个感兴趣的区域并鉴定相关基因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d0f/9437704/feb77a8ef71c/fgene-13-955347-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d0f/9437704/24370879c91e/fgene-13-955347-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d0f/9437704/d837ecd90118/fgene-13-955347-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d0f/9437704/feb77a8ef71c/fgene-13-955347-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d0f/9437704/24370879c91e/fgene-13-955347-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d0f/9437704/d837ecd90118/fgene-13-955347-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d0f/9437704/feb77a8ef71c/fgene-13-955347-g003.jpg

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Genes (Basel). 2022 Apr 28;13(5):794. doi: 10.3390/genes13050794.
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Substitution Mapping of Two Closely Linked QTLs on Chromosome 8 Controlling Grain Chalkiness in Rice.水稻第8染色体上控制籽粒垩白的两个紧密连锁QTL的代换作图
Rice (N Y). 2021 Oct 2;14(1):85. doi: 10.1186/s12284-021-00526-4.
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Identification and allele mining of new candidate genes underlying rice grain weight and grain shape by genome-wide association study.
通过全基因组关联研究鉴定和挖掘控制水稻粒重和粒形的新候选基因。
BMC Genomics. 2021 Aug 6;22(1):602. doi: 10.1186/s12864-021-07901-x.
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An improved 7K SNP array, the C7AIR, provides a wealth of validated SNP markers for rice breeding and genetics studies.改良后的 7K SNP 芯片 C7AIR 为水稻育种和遗传学研究提供了丰富的经验证的 SNP 标记。
PLoS One. 2020 May 14;15(5):e0232479. doi: 10.1371/journal.pone.0232479. eCollection 2020.
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Identification of Multiple Grain Shape-Related Loci in Rice Using Bulked Segregant Analysis With High-Throughput Sequencing.利用高通量测序的混合分组分析法鉴定水稻中多个与粒形相关的基因座
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